A Multilinear Singular Value Decomposition 论文

2000SIAM Journal on Matrix Analysis and Applications引用 4166
Tensor decomposition and applicationsBlind Source Separation TechniquesAlgorithms and Data Compression

详细信息

发表期刊/会议
SIAM Journal on Matrix Analysis and Applications
发表日期
2000-01-01
发表年份
2000

关键词

Tensor decomposition and applicationsBlind Source Separation TechniquesAlgorithms and Data Compression

摘要

Abstract. We discuss a multilinear generalization of the singular value decomposition. There is a strong analogy between several properties of the matrix and the higher-order tensor decomposition; uniqueness, link with the matrix eigenvalue decomposition, first-order perturbation effects, etc., are analyzed. We investigate how tensor symmetries affect the decomposition and propose a multilinear generalization of the symmetric eigenvalue decomposition for pair-wise symmetric tensors.